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<title>CUTLASS: cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator&lt; Shape_, Operand_, Element_, cutlass::layout::TensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt; Class Template Reference</title>
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<li class="navelem"><a class="el" href="namespacecutlass.html">cutlass</a></li><li class="navelem"><a class="el" href="namespacecutlass_1_1gemm.html">gemm</a></li><li class="navelem"><a class="el" href="namespacecutlass_1_1gemm_1_1warp.html">warp</a></li><li class="navelem"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html">MmaTensorOpMultiplicandTileIterator&lt; Shape_, Operand_, Element_, cutlass::layout::TensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;</a></li>  </ul>
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<div class="title">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator&lt; Shape_, Operand_, Element_, cutlass::layout::TensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt; Class Template Reference</div>  </div>
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<p><code>#include &lt;<a class="el" href="mma__tensor__op__tile__iterator_8h_source.html">mma_tensor_op_tile_iterator.h</a>&gt;</code></p>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a>
Classes</h2></td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0784c74bd670999ec23ad8ef9dc55777.html">Policy</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Internal structure of iterator - made public to enable introspection.  <a href="structcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0784c74bd670999ec23ad8ef9dc55777.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-types"></a>
Public Types</h2></td></tr>
<tr class="memitem:a847a66cca3fbafbd3d4cce72a9ad2440"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a847a66cca3fbafbd3d4cce72a9ad2440">Shape</a> = Shape_</td></tr>
<tr class="memdesc:a847a66cca3fbafbd3d4cce72a9ad2440"><td class="mdescLeft">&#160;</td><td class="mdescRight">Shape of tile to load (concept: PitchLinearShape)  <a href="#a847a66cca3fbafbd3d4cce72a9ad2440">More...</a><br /></td></tr>
<tr class="separator:a847a66cca3fbafbd3d4cce72a9ad2440"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a917f156978028a6cda77674086f67c3e"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a917f156978028a6cda77674086f67c3e">Element</a> = Element_</td></tr>
<tr class="memdesc:a917f156978028a6cda77674086f67c3e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Element type.  <a href="#a917f156978028a6cda77674086f67c3e">More...</a><br /></td></tr>
<tr class="separator:a917f156978028a6cda77674086f67c3e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2f70d5b508aa97478efb818412f385ff"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a2f70d5b508aa97478efb818412f385ff">Layout</a> = <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#acc6388e433c480e8316fb1e628f13e0c">kCrosswise</a> &gt;</td></tr>
<tr class="memdesc:a2f70d5b508aa97478efb818412f385ff"><td class="mdescLeft">&#160;</td><td class="mdescRight">Layout of source tile.  <a href="#a2f70d5b508aa97478efb818412f385ff">More...</a><br /></td></tr>
<tr class="separator:a2f70d5b508aa97478efb818412f385ff"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a276c1d33c1380292ac581eae6afe00f2"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a276c1d33c1380292ac581eae6afe00f2">InstructionShape</a> = InstructionShape_</td></tr>
<tr class="memdesc:a276c1d33c1380292ac581eae6afe00f2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Shape of one matrix product operation (concept: <a class="el" href="structcutlass_1_1gemm_1_1GemmShape.html" title="Shape of a matrix multiply-add operation. ">GemmShape</a>)  <a href="#a276c1d33c1380292ac581eae6afe00f2">More...</a><br /></td></tr>
<tr class="separator:a276c1d33c1380292ac581eae6afe00f2"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a850457c90597a384939b590604ca4edf"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a850457c90597a384939b590604ca4edf">TensorRef</a> = <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a850457c90597a384939b590604ca4edf">TensorRef</a>&lt; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a917f156978028a6cda77674086f67c3e">Element</a>, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a2f70d5b508aa97478efb818412f385ff">Layout</a> &gt;</td></tr>
<tr class="memdesc:a850457c90597a384939b590604ca4edf"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a class="el" href="classcutlass_1_1TensorRef.html">TensorRef</a> type for loading element from a tensor.  <a href="#a850457c90597a384939b590604ca4edf">More...</a><br /></td></tr>
<tr class="separator:a850457c90597a384939b590604ca4edf"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ace4698285e3ccb3d680e721d45c3604a"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#ace4698285e3ccb3d680e721d45c3604a">Index</a> = typename <a class="el" href="classcutlass_1_1TensorRef.html#a11ec4b07a2132e647ca2ebe5112ce5ec">TensorRef::Index</a></td></tr>
<tr class="memdesc:ace4698285e3ccb3d680e721d45c3604a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Index type.  <a href="#ace4698285e3ccb3d680e721d45c3604a">More...</a><br /></td></tr>
<tr class="separator:ace4698285e3ccb3d680e721d45c3604a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab4334bc63da845c9606103e04f389a6d"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#ab4334bc63da845c9606103e04f389a6d">LongIndex</a> = typename <a class="el" href="classcutlass_1_1TensorRef.html#adeada5e33b231f125a4aaeaf963bd3a3">TensorRef::LongIndex</a></td></tr>
<tr class="memdesc:ab4334bc63da845c9606103e04f389a6d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Long Index type.  <a href="#ab4334bc63da845c9606103e04f389a6d">More...</a><br /></td></tr>
<tr class="separator:ab4334bc63da845c9606103e04f389a6d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2d5b5e7e31f4c85df162d8bbd020b8ae"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a2d5b5e7e31f4c85df162d8bbd020b8ae">TensorCoord</a> = typename <a class="el" href="classcutlass_1_1TensorRef.html#ace218cdb46555a46bd71dbdfc2c317c1">TensorRef::TensorCoord</a></td></tr>
<tr class="memdesc:a2d5b5e7e31f4c85df162d8bbd020b8ae"><td class="mdescLeft">&#160;</td><td class="mdescRight">Coordinate for an element in the tensor.  <a href="#a2d5b5e7e31f4c85df162d8bbd020b8ae">More...</a><br /></td></tr>
<tr class="separator:a2d5b5e7e31f4c85df162d8bbd020b8ae"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:abed4efcbfe0634ccaeae64eef124cceb"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#abed4efcbfe0634ccaeae64eef124cceb">Fragment</a> = Array&lt; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a917f156978028a6cda77674086f67c3e">Element</a>, Shape::kCount/<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a9c503e45168ab6d5f770520e29d61c98">kThreads</a> &gt;</td></tr>
<tr class="memdesc:abed4efcbfe0634ccaeae64eef124cceb"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fragment object holding a thread's part of a tile.  <a href="#abed4efcbfe0634ccaeae64eef124cceb">More...</a><br /></td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:ab12387376473d0975cbf02f9d04a153c"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#ab12387376473d0975cbf02f9d04a153c">MmaTensorOpMultiplicandTileIterator</a> ()</td></tr>
<tr class="memdesc:ab12387376473d0975cbf02f9d04a153c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default ctor constructs null iterator.  <a href="#ab12387376473d0975cbf02f9d04a153c">More...</a><br /></td></tr>
<tr class="separator:ab12387376473d0975cbf02f9d04a153c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a82e4782707be8ef551bb2649178efd67"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a82e4782707be8ef551bb2649178efd67">MmaTensorOpMultiplicandTileIterator</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a850457c90597a384939b590604ca4edf">TensorRef</a> const &amp;ref, int lane_id)</td></tr>
<tr class="memdesc:a82e4782707be8ef551bb2649178efd67"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor from <a class="el" href="classcutlass_1_1TensorRef.html">TensorRef</a>.  <a href="#a82e4782707be8ef551bb2649178efd67">More...</a><br /></td></tr>
<tr class="separator:a82e4782707be8ef551bb2649178efd67"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a5729ea6986033389dae3e6a724292507"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a5729ea6986033389dae3e6a724292507">add_pointer_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#ab4334bc63da845c9606103e04f389a6d">LongIndex</a> offset)</td></tr>
<tr class="memdesc:a5729ea6986033389dae3e6a724292507"><td class="mdescLeft">&#160;</td><td class="mdescRight">Adds a pointer offset to internal pointer(s) to advance through memory.  <a href="#a5729ea6986033389dae3e6a724292507">More...</a><br /></td></tr>
<tr class="separator:a5729ea6986033389dae3e6a724292507"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a80210fe006f6058886d8aa53677af116"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a80210fe006f6058886d8aa53677af116">add_tile_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a2d5b5e7e31f4c85df162d8bbd020b8ae">TensorCoord</a> const &amp;tile_offset)</td></tr>
<tr class="separator:a80210fe006f6058886d8aa53677af116"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae4af2d212abc11a8cf1a97d47b230f00"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#ae4af2d212abc11a8cf1a97d47b230f00">operator++</a> ()</td></tr>
<tr class="memdesc:ae4af2d212abc11a8cf1a97d47b230f00"><td class="mdescLeft">&#160;</td><td class="mdescRight">Advances the iterator along the advance dimension.  <a href="#ae4af2d212abc11a8cf1a97d47b230f00">More...</a><br /></td></tr>
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<tr class="memitem:af02b9089644245ee0d7cd4fab17b2026"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#af02b9089644245ee0d7cd4fab17b2026">operator--</a> ()</td></tr>
<tr class="memdesc:af02b9089644245ee0d7cd4fab17b2026"><td class="mdescLeft">&#160;</td><td class="mdescRight">Advances the iterator along the advance dimension.  <a href="#af02b9089644245ee0d7cd4fab17b2026">More...</a><br /></td></tr>
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<tr class="memitem:a7407a4b2ac07e96c39c1e53aeb76a594"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a7407a4b2ac07e96c39c1e53aeb76a594">operator+=</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a2d5b5e7e31f4c85df162d8bbd020b8ae">TensorCoord</a> const &amp;tile_offset)</td></tr>
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<tr class="memitem:a97d09b2ad300996739ff4d1935804aaa"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a97d09b2ad300996739ff4d1935804aaa">operator-=</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a2d5b5e7e31f4c85df162d8bbd020b8ae">TensorCoord</a> const &amp;tile_offset)</td></tr>
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<tr class="memitem:a33b7e2083273b6ecaacf7a98045e5ad7"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a33b7e2083273b6ecaacf7a98045e5ad7">load</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#abed4efcbfe0634ccaeae64eef124cceb">Fragment</a> &amp;frag) const </td></tr>
<tr class="memdesc:a33b7e2083273b6ecaacf7a98045e5ad7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory at the location pointed to by the iterator.  <a href="#a33b7e2083273b6ecaacf7a98045e5ad7">More...</a><br /></td></tr>
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<tr class="memitem:aa851acf5c1e2a7ffa24526eebb347c1f"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#aa851acf5c1e2a7ffa24526eebb347c1f">load_with_byte_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#abed4efcbfe0634ccaeae64eef124cceb">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#ace4698285e3ccb3d680e721d45c3604a">Index</a> byte_offset) const </td></tr>
<tr class="memdesc:aa851acf5c1e2a7ffa24526eebb347c1f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with additional logical offset.  <a href="#aa851acf5c1e2a7ffa24526eebb347c1f">More...</a><br /></td></tr>
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<tr class="memitem:a0726a2e59e0eff3c40786d8712e47776"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a0726a2e59e0eff3c40786d8712e47776">load_with_pointer_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#abed4efcbfe0634ccaeae64eef124cceb">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#ace4698285e3ccb3d680e721d45c3604a">Index</a> pointer_offset) const </td></tr>
<tr class="memdesc:a0726a2e59e0eff3c40786d8712e47776"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with additional logical offset.  <a href="#a0726a2e59e0eff3c40786d8712e47776">More...</a><br /></td></tr>
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<tr class="memitem:a3ff0b3e06a62a6d4d1d3aeb4bf491d87"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a3ff0b3e06a62a6d4d1d3aeb4bf491d87">load</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#abed4efcbfe0634ccaeae64eef124cceb">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a2d5b5e7e31f4c85df162d8bbd020b8ae">TensorCoord</a> const &amp;tile_offset) const </td></tr>
<tr class="memdesc:a3ff0b3e06a62a6d4d1d3aeb4bf491d87"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with logical offset in units of whole tiles.  <a href="#a3ff0b3e06a62a6d4d1d3aeb4bf491d87">More...</a><br /></td></tr>
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<tr class="memitem:a14bf57fe01b0419ef0a6b17730819c65"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a14bf57fe01b0419ef0a6b17730819c65">load</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#abed4efcbfe0634ccaeae64eef124cceb">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a2d5b5e7e31f4c85df162d8bbd020b8ae">TensorCoord</a> const &amp;tile_offset, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#ace4698285e3ccb3d680e721d45c3604a">Index</a> pointer_offset) const </td></tr>
<tr class="memdesc:a14bf57fe01b0419ef0a6b17730819c65"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with logical offset in units of whole tiles.  <a href="#a14bf57fe01b0419ef0a6b17730819c65">More...</a><br /></td></tr>
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<tr class="memitem:aac602e347a7e35680d0a0dd1b9e82951"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#aac602e347a7e35680d0a0dd1b9e82951">load_with_byte_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#abed4efcbfe0634ccaeae64eef124cceb">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a2d5b5e7e31f4c85df162d8bbd020b8ae">TensorCoord</a> const &amp;tile_offset, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#ace4698285e3ccb3d680e721d45c3604a">Index</a> byte_offset) const </td></tr>
<tr class="memdesc:aac602e347a7e35680d0a0dd1b9e82951"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with logical offset in units of whole tiles.  <a href="#aac602e347a7e35680d0a0dd1b9e82951">More...</a><br /></td></tr>
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<tr class="memitem:a909bd811645c74d84837ed21c3318b96"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a909bd811645c74d84837ed21c3318b96">set_kgroup_index</a> (int k_group)</td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-attribs"></a>
Static Public Attributes</h2></td></tr>
<tr class="memitem:a4a21ce52fa53c0e49926df3bc2ceb68b"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6">Operand</a> const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a4a21ce52fa53c0e49926df3bc2ceb68b">kOperand</a> = Operand_</td></tr>
<tr class="memdesc:a4a21ce52fa53c0e49926df3bc2ceb68b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Operand tag.  <a href="#a4a21ce52fa53c0e49926df3bc2ceb68b">More...</a><br /></td></tr>
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<tr class="memitem:acc6388e433c480e8316fb1e628f13e0c"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#acc6388e433c480e8316fb1e628f13e0c">kCrosswise</a> = Crosswise</td></tr>
<tr class="memdesc:acc6388e433c480e8316fb1e628f13e0c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Element number when the layout crosses.  <a href="#acc6388e433c480e8316fb1e628f13e0c">More...</a><br /></td></tr>
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<tr class="memitem:a702ec66954f8e450236d4db5b59f425a"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a702ec66954f8e450236d4db5b59f425a">kOpDelta</a> = OpDelta_</td></tr>
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<tr class="memitem:a9c503e45168ab6d5f770520e29d61c98"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a9c503e45168ab6d5f770520e29d61c98">kThreads</a> = 32</td></tr>
<tr class="memdesc:a9c503e45168ab6d5f770520e29d61c98"><td class="mdescLeft">&#160;</td><td class="mdescRight">Number of participating threads.  <a href="#a9c503e45168ab6d5f770520e29d61c98">More...</a><br /></td></tr>
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<tr class="memitem:afb13a3b770bb8bb8ddb3db23a83489ed"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#afb13a3b770bb8bb8ddb3db23a83489ed">kPartitionsK</a> = PartitionsK_</td></tr>
<tr class="memdesc:afb13a3b770bb8bb8ddb3db23a83489ed"><td class="mdescLeft">&#160;</td><td class="mdescRight">Number of partitions along K dimension.  <a href="#afb13a3b770bb8bb8ddb3db23a83489ed">More...</a><br /></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><h3>template&lt;typename Shape_, Operand Operand_, typename Element_, typename InstructionShape_, int OpDelta_, int Crosswise, int PartitionsK_&gt;<br />
class cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator&lt; Shape_, Operand_, Element_, cutlass::layout::TensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;</h3>

<p>This tile iterator is specialized for 32-thread TensorOps. It uses LDSM to load from shared memory and therefore must be initialized with a <a class="el" href="classcutlass_1_1TensorRef.html">TensorRef</a> to shared memory.</p>
<p>Satisfies: ReadableRandomAccessContiguousTileIteratorConcept </p>
</div><h2 class="groupheader">Member Typedef Documentation</h2>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a917f156978028a6cda77674086f67c3e">Element</a> =  Element_</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#abed4efcbfe0634ccaeae64eef124cceb">Fragment</a> =  Array&lt;<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a917f156978028a6cda77674086f67c3e">Element</a>, Shape::kCount / <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a9c503e45168ab6d5f770520e29d61c98">kThreads</a>&gt;</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#ace4698285e3ccb3d680e721d45c3604a">Index</a> =  typename <a class="el" href="classcutlass_1_1TensorRef.html#a11ec4b07a2132e647ca2ebe5112ce5ec">TensorRef::Index</a></td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a276c1d33c1380292ac581eae6afe00f2">InstructionShape</a> =  InstructionShape_</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a2f70d5b508aa97478efb818412f385ff">Layout</a> =  <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt;Element_&gt;::value, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#acc6388e433c480e8316fb1e628f13e0c">kCrosswise</a>&gt;</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#ab4334bc63da845c9606103e04f389a6d">LongIndex</a> =  typename <a class="el" href="classcutlass_1_1TensorRef.html#adeada5e33b231f125a4aaeaf963bd3a3">TensorRef::LongIndex</a></td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a847a66cca3fbafbd3d4cce72a9ad2440">Shape</a> =  Shape_</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a2d5b5e7e31f4c85df162d8bbd020b8ae">TensorCoord</a> =  typename <a class="el" href="classcutlass_1_1TensorRef.html#ace218cdb46555a46bd71dbdfc2c317c1">TensorRef::TensorCoord</a></td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a850457c90597a384939b590604ca4edf">TensorRef</a> =  <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a850457c90597a384939b590604ca4edf">TensorRef</a>&lt;<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a917f156978028a6cda77674086f67c3e">Element</a>, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a2f70d5b508aa97478efb818412f385ff">Layout</a>&gt;</td>
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<h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> </td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a850457c90597a384939b590604ca4edf">TensorRef</a> const &amp;&#160;</td>
          <td class="paramname"><em>ref</em>, </td>
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          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>lane_id</em>&#160;</td>
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<h2 class="groupheader">Member Function Documentation</h2>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::add_pointer_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#ab4334bc63da845c9606103e04f389a6d">LongIndex</a>&#160;</td>
          <td class="paramname"><em>offset</em></td><td>)</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a2d5b5e7e31f4c85df162d8bbd020b8ae">TensorCoord</a> const &amp;&#160;</td>
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<p>Advances an iterator along logical dimensions of matrix in units of whole tiles </p>

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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#abed4efcbfe0634ccaeae64eef124cceb">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em></td><td>)</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#abed4efcbfe0634ccaeae64eef124cceb">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
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          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a2d5b5e7e31f4c85df162d8bbd020b8ae">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em>&#160;</td>
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<dl class="params"><dt>Parameters</dt><dd>
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    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">tile_offset</td><td>loads a tile with a logical offset in units of whole tiles </td></tr>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#abed4efcbfe0634ccaeae64eef124cceb">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
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          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a2d5b5e7e31f4c85df162d8bbd020b8ae">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em>, </td>
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          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#ace4698285e3ccb3d680e721d45c3604a">Index</a>&#160;</td>
          <td class="paramname"><em>pointer_offset</em>&#160;</td>
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          <td></td>
          <td>)</td>
          <td></td><td> const</td>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">tile_offset</td><td>loads a tile with a logical offset in units of whole tiles </td></tr>
    <tr><td class="paramname">pointer_offset</td><td>loads a tile with a logical offset AND a pointer offset </td></tr>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load_with_byte_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#abed4efcbfe0634ccaeae64eef124cceb">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#ace4698285e3ccb3d680e721d45c3604a">Index</a>&#160;</td>
          <td class="paramname"><em>byte_offset</em>&#160;</td>
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          <td></td>
          <td>)</td>
          <td></td><td> const</td>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load_with_byte_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#abed4efcbfe0634ccaeae64eef124cceb">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a2d5b5e7e31f4c85df162d8bbd020b8ae">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#ace4698285e3ccb3d680e721d45c3604a">Index</a>&#160;</td>
          <td class="paramname"><em>byte_offset</em>&#160;</td>
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          <td></td>
          <td>)</td>
          <td></td><td> const</td>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">tile_offset</td><td>loads a tile with a logical offset in units of whole tiles </td></tr>
    <tr><td class="paramname">byte_offset</td><td>loads a tile with a logical offset AND a pointer offset </td></tr>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load_with_pointer_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#abed4efcbfe0634ccaeae64eef124cceb">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#ace4698285e3ccb3d680e721d45c3604a">Index</a>&#160;</td>
          <td class="paramname"><em>pointer_offset</em>&#160;</td>
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        <tr>
          <td></td>
          <td>)</td>
          <td></td><td> const</td>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">pointer_offset</td><td>loads a tile with a linear offset </td></tr>
  </table>
  </dd>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::operator++ </td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::operator+= </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a2d5b5e7e31f4c85df162d8bbd020b8ae">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em></td><td>)</td>
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<p>advances in units of whole tiles along the logical coordinate space of the tensor </p>

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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::operator-- </td>
          <td>(</td>
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<p>advances in units of whole tiles along the logical coordinate space of the tensor </p>

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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::operator-= </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0c7d419c589d601ce4eb603be566fea21.html#a2d5b5e7e31f4c85df162d8bbd020b8ae">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em></td><td>)</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::set_kgroup_index </td>
          <td>(</td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>k_group</em></td><td>)</td>
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<p>Notify the iterator which k-group it is currently pointing to.</p>
<p>This does not advance the iterator. Rather, it overrides its internal tracking with constant-valued k-group index to enable the compiler to fold constants and achieve more efficient code.</p>
<p>This is used by some nontrivial permuted layouts. </p>

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<h2 class="groupheader">Member Data Documentation</h2>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">int const <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::kCrosswise = Crosswise</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">int const <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::kOpDelta = OpDelta_</td>
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<p>Delta between *MMA operations (in units of *MMA operations, concept: <a class="el" href="structcutlass_1_1MatrixShape.html" title="Describes the size of a matrix tile. ">MatrixShape</a>) </p>

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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname"><a class="el" href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6">Operand</a> const <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::kOperand = Operand_</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">int const <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::kPartitionsK = PartitionsK_</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">int const <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::kThreads = 32</td>
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<span class="mlabels"><span class="mlabel">static</span></span>  </td>
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<hr/>The documentation for this class was generated from the following file:<ul>
<li><a class="el" href="mma__tensor__op__tile__iterator_8h_source.html">mma_tensor_op_tile_iterator.h</a></li>
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